sansheng-distill
Converts lengthy learning materials into interactive, searchable single-file references that teams can self-host and version-control, reducing onboarding tim…
Claude Code skill: distill a book or video series into one interactive single-file HTML · 书籍/视频深度蒸馏
- Generate interactive HTML summaries from technical documentation or video tutorials
- Convert book chapters into single-file HTML for offline team reference
- Create distilled learning resources from long video series for quick navigation
Converts lengthy learning materials into interactive, searchable single-file references that teams can self-host and version-control, reducing onboarding time and knowledge fragmentation across documentation sources.
Engineering teams building internal knowledge bases or standardizing technical documentation from disparate books and video courses.
https://github.com/sanshengai/sansheng-distill
By sanshengai
How to Get It
claude plugins install sanshengai/sansheng-distill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate interactive HTML summaries from technical documentation or video tutorials
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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Evaluation
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.